Statistical analysis of accident data on D1 motorway
Loading...
Files
Date
Authors
Woletz, Jakub
Advisor
Referee
Mark
Journal Title
Journal ISSN
Volume Title
Publisher
Czech Technical University in Prague
ORCID
Altmetrics
Abstract
This study analyses incidents on the D1 motorway over the period 2015–2023, with a focus on improving towing operations processes. The analysis includes a breakdown of incidents by type (accidents, technical failures), injuries and deaths, and considers seasonal variations and traffic conditions. The data show that traffic accidents account for most incidents, especially in sections with heavy traffic and difficult weather conditions. At the same time, there is an increase in the number of incidents in 2018 and 2019, while 2020 brings a temporary decrease due to the COVID-19 pandemic. This research is part of a long-term project aimed at optimizing and standardizing the processes of extrication and towing activities, with the aim of streamlining interventions, minimizing traffic complications and ensuring rapid traffic recovery on key roads. Subsequent steps will focus on designing new standards for towing interventions and improving current protocols.
This study analyses incidents on the D1 motorway over the period 2015–2023, with a focus on improving towing operations processes. The analysis includes a breakdown of incidents by type (accidents, technical failures), injuries and deaths, and considers seasonal variations and traffic conditions. The data show that traffic accidents account for most incidents, especially in sections with heavy traffic and difficult weather conditions. At the same time, there is an increase in the number of incidents in 2018 and 2019, while 2020 brings a temporary decrease due to the COVID-19 pandemic. This research is part of a long-term project aimed at optimizing and standardizing the processes of extrication and towing activities, with the aim of streamlining interventions, minimizing traffic complications and ensuring rapid traffic recovery on key roads. Subsequent steps will focus on designing new standards for towing interventions and improving current protocols.
This study analyses incidents on the D1 motorway over the period 2015–2023, with a focus on improving towing operations processes. The analysis includes a breakdown of incidents by type (accidents, technical failures), injuries and deaths, and considers seasonal variations and traffic conditions. The data show that traffic accidents account for most incidents, especially in sections with heavy traffic and difficult weather conditions. At the same time, there is an increase in the number of incidents in 2018 and 2019, while 2020 brings a temporary decrease due to the COVID-19 pandemic. This research is part of a long-term project aimed at optimizing and standardizing the processes of extrication and towing activities, with the aim of streamlining interventions, minimizing traffic complications and ensuring rapid traffic recovery on key roads. Subsequent steps will focus on designing new standards for towing interventions and improving current protocols.
Description
Keywords
D1 motorway , incidents , traffic accidents , towing activities , process optimization , technical failures , intervention standardization , injuries , recovery activities , seasonal effects , D1 motorway , incidents , traffic accidents , towing activities , process optimization , technical failures , intervention standardization , injuries , recovery activities , seasonal effects
Citation
Acta Polytechnica CTU Proceedings. 2025, vol. 52, issue 1, p. 136-143.
https://ojs.cvut.cz/ojs/index.php/APP/article/view/10624
https://ojs.cvut.cz/ojs/index.php/APP/article/view/10624
Document type
Peer-reviewed
Document version
Published version
Date of access to the full text
Language of document
en
Study field
Comittee
Date of acceptance
Defence
Result of defence
Endorsement
Review
Supplemented By
Referenced By
Creative Commons license
Except where otherwised noted, this item's license is described as Creative Commons Attribution 4.0 International

0009-0000-7895-5702 